We present a general-purpose, lossless compressor for streaming data. This compressor is based on the deplump probabilistic compressor for batch data. Approximations to the infere...
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
The contribution of this paper is in demonstrating the impact of AND/OR search spaces view on solutions counting. In contrast to the traditional (OR) search space view, the AND/OR ...
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
We describe the implementation of a graphical programming tool in the object-oriented language, Smalltalk80, that allows a user to construct a radiographic measurement model. The ...
G. S. Cunningham, K. M. Hanson, G. R. Jennings Jr....